Address:
Campus SophiaTech
450 Route des Chappes
06410 Biot, FRANCE
Office: 419
Phone: +33 4 93 00 81 35
Email Address: maurizio.filippone [at] eurecom.fr
Book time with me on: youcanbook.me
NEWS
30-01-21 The paper "Deep Compositional Spatial Models" has been accepted in the Journal of the American Statistical Association! (pdf) (link)
23-01-21 The paper "Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations" has been accepted at AISTATS 2021! (pdf)
25-11-20 Check out our new paper "All You Need is a Good Functional Prior for Bayesian Deep Learning" (link)
11-11-20 Check out our new paper "Sparse within Sparse Gaussian Processes using Neighbor Information" (link)
19-10-20 Check out our new paper "An Identifiable Double VAE For Disentangled Representations" (link)
26-09-20 The paper "Walsh-Hadamard Variational Inference for Bayesian Deep Learning" has been accepted at NeurIPS 2020! (pdf) (code)
09-06-20 Check out our new paper "Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling" (link)
08-06-20 Check out our new paper "A Variational View on Bootstrap Ensembles as Bayesian Inference" (link)
04-06-20 The paper "Model Monitoring and Dynamic Model Selection in Travel Time-series Forecasting" has been accepted at ECML/PKDD 2020! (pdf)
17-02-20 We are very excited to host the second workshop on "Functional Inference and Machine Intelligence" at EURECOM - the event is co-organized with the Institute of Statistical Mathematics, Tokyo! (link)
24-01-20 The paper "Kernel computations from large-scale random features obtained by Optical Processing Units" has been accepted at ICASSP 2020! (pdf)
07-01-20 The paper "LIBRE: Learning Interpretable Boolean Rule Ensembles" has been accepted at AISTATS 2020! (pdf)
21-10-19 The paper "A comparative evaluation of novelty detection algorithms for discrete sequences" has been accepted for publication in the Artificial Intelligence Review journal! (link)
07-10-19 Talk at the Department of Statistics, University of Oxford, UK: "Walsh-Hadamard Variational Inference for Bayesian Deep Learning" (slides)
01-10-19 The paper "Efficient Approximate Inference with Walsh-Hadamard Variational Inference" has been accepted at the Bayesian Deep Learning Workshop at NeurIPS 2019! (link) (pdf)
03-09-19 The paper "Pseudo-Extended Markov chain Monte Carlo" has been accepted at NeurIPS 2019! (link) (pdf)
23-08-19 Talk at the Deep Bayes Summer School in Moscow: "Deep Gaussian Processes" (slides)
26-07-19 Read about my new research efforts on sustainable AI on The Conversation website: Light, a possible solution for a sustainable AI
14-07-19 Tutorial at IJCNN 2019, Budapest, Hungary (link)
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